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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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the alumni office. Stay in the know Learn how to set up your UniMelb account to access perks and discounts. UniMelb account log in Access your account to update your personal details and access benefits
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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the optical-to-radio wavelength range, from major surveys and space telescopes (e.g: Gaia, SDSS, JWST, Hubble, Roman, Rubin-LSST). These are analysed using advanced machine learning and data-driven methods. My
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PhD Scholarship Keep military drones hidden from enemies! This PhD develops cutting-edge stealth communication tech so UAVs can coordinate and sense their environment without ever revealing
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Jets" "Strings in Quantum Chromodynamics" "Topics in Heavy-Quark Physics" (with Prof Ulrik Egede) List of Past Projects I have supervised (3rd-year, honours, and PhD). web page For further details
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for this scholarship The application for PhD admission will only be assessed where: The applicant is successful in being awarded the scholarship Prior to submitting an application for the scholarship, prospective
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Engineering PhD - Indigenous Job No.: 693049 Faculty: Faculty of Engineering Location: Clayton campus Duration: 3.5-year fixed-term appointment Open to: People who identify as Aboriginal and/ or
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PhD Scholarship This PhD explores organised sport as a key setting for developing physical literacy in children and adolescents. This PhD project aims to advance understanding of how organised sport